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This paper presents an interactive framework for exploring space-time relationships in databases of experimentally collected high-resolution biomechanical data. These data describe complex 3D motions (chewing, walking, flying, etc.) performed by animals and humans and captured via high-speed imaging technologies, such as biplane fluoroscopy. In analyzing these 3D biomechanical motions, interactive 3D visualizations are important, in particular, for supporting spatial analysis. However, as researchers in information visualization have pointed out, 2D visual representations of motion are also effective for trend analysis, especially for long and complex animation sequences. The approach, therefore, combines techniques from both 3D and 2D visualizations. Specifically, it utilizes a multi-view visualization strategy including a small multiples view of motion sequences, a parallel coordinates view, and detailed 3D inspection views.
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